Product Research Scientist, Drug Discovery

This is a fully remote position, open to applicants in Canada.

📋 Description

• Collaborate with researchers in ML and Computational Chemistry to convert internal scientific code and prototypes into reliable, production-ready software systems for external product offerings.

• Develop and incorporate essential scientific algorithms (ML, deep learning, physics-based simulation) into scalable product platforms.

• Work within a cross-functional "pod" consisting of engineers, computational chemists, AI specialists, and product managers to outline requirements, architecture, and deployment plans for new features.

• Maintain the scientific integrity and precision of research models (e.g., active learning, FEP, etc.) when implemented in production environments.

• Lead the product lifecycle from scientific conception to external rollout, ensuring both technical excellence and market relevance.

⛳️ Requirements

• PhD in chemistry, biology, or a related field.

• 3-5 years of pertinent experience in a product-centric engineering or applied science role, particularly in converting ML or computational chemistry research into production software in the private sector (biotech/pharma preferred).

• Background in deploying and maintaining machine learning models for scientific purposes (e.g., molecular property prediction, multi-objective optimization).

• Expertise in Python toolkits for scientific computing (e.g., NumPy, Pandas, SciPy) as well as machine learning (e.g., scikit-learn, PyTorch).

• Excellent communication skills and a commitment to collaborating with colleagues to identify challenges and articulate technical solutions in an understandable way.

🏝️ Benefits

• Comprehensive medical, dental, and vision coverage for employees and their dependents, with significant employer premium contributions.

• Retirement savings plan with company matching.

• Paid parental leave.

• Inclusive family-building benefits.

• Fully remote work options.

• Flexible paid time off.

• Company-wide seasonal breaks.

• Support for flexible work arrangements that promote sustainable performance.

• Opportunities for ongoing learning and professional growth through on-the-job training, cross-functional collaboration, and access to internal learning and development initiatives.